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Intracellular recordings of neuronal membrane potential are a central tool in neurophysiology. In many situations, especially in vivo, the traditional limitation of such recordings is the high electrode resistance, which may cause…

Neurons and Cognition · Quantitative Biology 2007-11-15 R. Brette , Z. Piwkowska , M. Rudolph-Lilith , T. Bal , A. Destexhe

This PhD thesis introduces the concept of meta-electrodes coupled with laser optoporation for high quality intracellular signals from hiPSCs-CM. These signals can be recorded on high-density commercial CMOS-MEAs from 3Brain characterized by…

Biological Physics · Physics 2022-12-20 Giovanni Melle

The increasing number of recording electrodes enhances the capability of capturing the network's cooperative activity, however, using too many monitors might alter the properties of the measured neural network and induce noise. Using a…

Neurons and Cognition · Quantitative Biology 2023-04-24 Roni Vardi , Amir Goldental , Shira Sardi , Anton Sheinin , Ido Kanter

Current techniques of neuroimaging, including electrical devices, are either of low spatiotemporal resolution or invasive, impeding multiscale monitoring of brain activity at both single cell and network levels. Overcoming this issue is of…

We introduce a novel electro-optomechanic neural sensor for realizing ultra-compact neural recording probes that can detect and relay electrophysiology signals from within neural tissue. This technology addresses outstanding challenges…

A technology for recording electrical activity of large neuron populations at arbitrary depth in brain tissues with less than cell spatial and millisecond temporal resolutions was the most craving dream of neuroscientists and a long pursued…

Biological Physics · Physics 2013-09-02 Roman V. Beletskiy

Decoding the activity of the nervous system is a critical challenge in neuroscience and neural interfacing. In this study, we present a neuromuscular recording system that enables large-scale sampling of muscle activity using microelectrode…

Neurons and Cognition · Quantitative Biology 2025-09-16 Agnese Grison , Jaime Ibanez Pereda , Silvia Muceli , Aritra Kundu , Farah Baracat , Giacomo Indiveri , Elisa Donati , Dario Farina

Recent advances in material technology and in micro- and nano-electronics have profoundly changed the design of intracranial electrophysiology electrodes. It is now possible to manufacture electrodes that record cortical activity at a…

Neurons and Cognition · Quantitative Biology 2024-02-06 Pierre Bourdillon , Linnea Evanson

Neuroscientists today can measure activity from more neurons than ever before, and are facing the challenge of connecting these brain-wide neural recordings to computation and behavior. Here, we first describe emerging tools and…

Neurons and Cognition · Quantitative Biology 2022-01-10 Anne E. Urai , Brent Doiron , Andrew M. Leifer , Anne K. Churchland

Intracellular access with high spatiotemporal resolution can enhance our understanding of how neurons or cardiomyocytes regulate and orchestrate network activity, and how this activity can be affected with pharmacology or other…

The volume, veracity, variability, and velocity of data produced from the ever-increasing network of sensors connected to Internet pose challenges for power management, scalability, and sustainability of cloud computing infrastructure.…

Emerging Technologies · Computer Science 2019-02-19 Olga Krestinskaya , Alex Pappachen James , Leon O. Chua

The electrical properties of extracellular space around neurons are important to understand the genesis of extracellular potentials, as well as for localizing neuronal activity from extracellular recordings. However, the exact nature of…

CMOS-based sensor array chips provide new and attractive features as compared to today's standard tools for medical, diagnostic, and biotechnical applications. Examples for molecule- and cell-based approaches and related circuit design…

Two major initiatives to accelerate research in the brain sciences have focused attention on developing a new generation of scientific instruments for neuroscience. These instruments will be used to record static (structural) and dynamic…

Neurons and Cognition · Quantitative Biology 2013-07-30 Thomas Dean , Biafra Ahanonu , Mainak Chowdhury , Anjali Datta , Andre Esteva , Daniel Eth , Nobie Redmon , Oleg Rumyantsev , Ysis Tarter

The majority of microelectromechanical system (MEMS) devices must be combined with integrated circuits (ICs) for operation in larger electronic systems. While MEMS transducers sense or control physical, optical or chemical quantities, ICs…

sEMG pattern recognition algorithms have been explored extensively in decoding movement intent, yet are known to be vulnerable to changing recording conditions, exhibiting significant drops in performance across subjects, and even across…

Machine Learning · Computer Science 2024-01-08 Joao Pereira , Dimitrios Chalatsis , Balint Hodossy , Dario Farina

The promise of increasing channel counts in high density ($> 10^4$) neural Microelectrode Arrays (MEAs) for high resolution recording comes with the curse of developing faster characterization strategies for concurrent acquisition of…

Signal Processing · Electrical Eng. & Systems 2024-03-13 Akwasi Akwaboah , Ralph Etienne-Cummings

A new type of microfluidic system for biological cell manipulation, a CMOS/microfluidic hybrid, is demonstrated. The hybrid system starts with a custom-designed CMOS (complementary metal-oxide semiconductor) chip fabricated in a…

Quantitative Methods · Quantitative Biology 2007-05-23 Hakho Lee , Yong Liu , Donhee Ham , Robert M. Westervelt

Biological studies on in vitro cell cultures are of fundamental importance to investigate cells response to external stimuli, such as new drugs for treatment of specific pathologies, or to study communication between electrogenic cells.…

Automated and semi-automated techniques in biomedical electron microscopy (EM) enable the acquisition of large datasets at a high rate. Segmentation methods are therefore essential to analyze and interpret these large volumes of data, which…

Computer Vision and Pattern Recognition · Computer Science 2023-08-08 Anusha Aswath , Ahmad Alsahaf , Ben N. G. Giepmans , George Azzopardi
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